seaborn
Creates Seaborn statistical visualizations with pandas integration for distributions, relationships, categorical comparisons, regression displays, pair plots, and heatmaps. Supports function and objects interfaces with explicit aggregation, uncertainty, and missing-data handling. Best suited to static exploratory plots; plotly covers interactive figures and scientific-visualization covers publication styling.
- Version
- 1.5
- License
- BSD-3-Clause license
- Compatibility
- Requires Python 3.8+ with seaborn 0.13.2, NumPy, pandas, and Matplotlib; the tested current dependency stack requires Python 3.12+. Optional scipy/statsmodels for advanced regression or clustering, ipywidgets for notebook controls. Network only for installation or uncached example datasets.
Pinned to revision 68105dd992f1, so it is the text this page describes rather than whatever the author pushed since.
Pre-approved tools experimental
Experimental field. Support varies between clients, so this list is what the author declared, not what your client will enforce.
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Files
- skills/seaborn/SKILL.md
- skills/seaborn/SKILL_CN.md
- skills/seaborn/references/examples.md
- skills/seaborn/references/function_reference.md
- skills/seaborn/references/grids_and_levels.md
- skills/seaborn/references/objects_interface.md
- skills/seaborn/references/palettes_and_theming.md
- skills/seaborn/references/patterns_and_troubleshooting.md
- skills/seaborn/references/plotting_functions.md
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